Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Experiment Videos

Diffusion MRI of complex neural architecture.

David S Tuch1, Timothy G Reese, Mette R Wiegell

  • 1Athinoula A. Martinos Center for Biomedical Imaging, Massachusetts General Hospital, 149 13th Street, Room 2301, Charlestown, MA 02129, USA. dtuch@mit.edu

Neuron
|December 9, 2003
PubMed
Summary
This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Mapping subarachnoid cerebrospinal fluid circulation in the human brain.

bioRxiv : the preprint server for biology·2026
Same author

Water/Fat Separated Echo Planar Time-Resolved Imaging (WFS-EPTI) for Distortion-Free Multi-Contrast MRI.

Magnetic resonance in medicine·2026
Same author

Quantifying articulatory variations across phonological environments: An atlas-based approach using dynamic magnetic resonance imaging.

The Journal of the Acoustical Society of America·2024
Same author

Romer-EPTI: Rotating-view motion-robust super-resolution EPTI for SNR-efficient distortion-free in-vivo mesoscale diffusion MRI and microstructure imaging.

Magnetic resonance in medicine·2024
Same author

Reduced physiology-induced temporal instability achieved with variable-flip-angle fast low-angle excitation echo-planar technique with multishot echo planar time-resolved imaging.

Magnetic resonance in medicine·2024
Same author

Investigating muscle coordination patterns with Granger causality analysis in protrusive motion from tagged and diffusion MRI.

JASA express letters·2024
Same journal

Fast-conducting mechanonociceptors uniquely engage reflexive and affective pain circuitry to drive protective responses.

Neuron·2026
Same journal

Sparse component analysis: A method that uncovers separable computations within neural population activity.

Neuron·2026
Same journal

Spatiomolecular mapping reveals anatomical organization of heterogeneous cell types in the human nucleus accumbens.

Neuron·2026
Same journal

TGF-β1-induced endothelial transcytosis drives blood-brain barrier leakage during aging.

Neuron·2026
Same journal

Image space opens up for visual neuroscience.

Neuron·2026
Same journal

Septal GLP-1 receptors control alcohol taking and seeking.

Neuron·2026
See all related articles

Q-ball imaging, a novel technique, overcomes limitations of diffusion tensor imaging for mapping brain connectivity. It resolves multiple axon directions within voxels, enabling clearer visualization of neural pathways.

Area of Science:

  • Neuroimaging
  • Neuroscience
  • Biophysics

Background:

  • Functional brain imaging identifies active cortical regions but struggles to map neural connectivity.
  • Diffusion tensor imaging (DTI) noninvasively images neural pathways by tracking water diffusion.
  • DTI's limitation is resolving only one axon direction per voxel, hindering accurate connectivity mapping.

Purpose of the Study:

  • To introduce a novel magnetic resonance imaging technique capable of resolving multiple axon directions within a single voxel.
  • To overcome the limitations of DTI in mapping complex neural connectivity patterns.
  • To enable more accurate noninvasive mapping of the human brain's structural connectivity.

Main Methods:

  • Development and application of q-ball imaging, a novel magnetic resonance imaging technique.

Related Experiment Videos

  • Utilizing q-ball imaging to resolve complex intravoxel white matter architecture, including fiber crossings and insertions into the cortex.
  • Comparing the capabilities of q-ball imaging against traditional DTI for neural pathway reconstruction.

    • Main Results:

    • Q-ball imaging successfully resolves multiple axon directions within individual imaging voxels.
    • The technique can identify white matter fiber crossings and their insertions into cortical regions.
    • This advancement overcomes a key obstacle in noninvasively mapping human brain connectivity.

    Conclusions:

    • Q-ball imaging offers a significant advancement in noninvasive neuroimaging.
    • The ability to resolve complex intravoxel fiber architecture is crucial for accurate brain connectivity mapping.
    • This technique holds promise for a more comprehensive understanding of the human brain's structural connectome.